Triple
T5424132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Of Education |
E121320
|
entity |
| Predicate | proposesAgeRange |
P3005
|
FINISHED |
| Object | approximately 12 to early adulthood |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: approximately 12 to early adulthood | Statement: [Of Education, proposesAgeRange, approximately 12 to early adulthood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposesAgeRange Context triple: [Of Education, proposesAgeRange, approximately 12 to early adulthood]
-
A.
ageRange
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
B.
servesAgeRange
chosen
Indicates that a service, product, or offering is intended for or applicable to entities within a specified age range.
-
C.
containsAge
Indicates that one entity includes or specifies the age value or age-related information of another entity.
-
D.
typicalEligibilityAge
Indicates the usual or standard age at which an entity qualifies for or becomes eligible for a particular status, benefit, or activity.
-
E.
ageRangeUpper
Indicates the maximum age limit that bounds the upper end of an age range associated with an entity or relationship.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8911a7348190ad9378a248190f07 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd846b8bdc81909dcdc2a3084226f2 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:06 p.m.